Different Models with Fuzzy Random Variables in Single-Stage Decision Problems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Luis J. Rodríguez-Muñiz , Miguel López-Díaz

ABSTRACT

In this paper we examine two different models using fuzzy random variables as the tool for dealing with single-stage decision problems with imprecise assessments of utilities. Both of them are oriented to prove the equivalence between normal and extensive forms of Bayesian analysis. The first model uses Fubini-type techniques to obtain the result whereas the second does not construct a product space and the result is obtained by different techniques. Addition of fuzzy-valued sample information is also considered. More... »

PAGES

298-305

References to SciGraph publications

Book

TITLE

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications

ISBN

978-3-642-14057-0
978-3-642-14058-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-14058-7_30

DOI

http://dx.doi.org/10.1007/978-3-642-14058-7_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049339846


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